Docker is an open platform for building, shipping and running distributed applications. It allows developers to package applications into containers that have everything needed to run, including libraries and other dependencies, and ship them to any Docker-enabled infrastructure. Containers are more portable and provide better isolation than virtual machines, and allow applications to be deployed with minimal overhead or conflict. Docker uses containers, images and a Dockerfile to deploy and run applications reliably across any infrastructure.
The presentation deals with the basic principles and best practices for bootstrapping, building and using Docker containers, practical examples how to set up container build files, and contains few important Docker file instructions and Docker CLI commands.
This presentation by Valerii Radchenko (Senior Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv JS TechTalk on December 18, 2017.
Running the Oracle SOA Suite Environment in a Docker ContainerGuido Schmutz
Running the Oracle SOA Suite Environment in a Docker Container
The document discusses running the Oracle SOA Suite environment in a Docker container. It begins with an introduction to Docker and its benefits over virtual machines. It then demonstrates various Docker commands like run, logs, images, ps to launch and manage containers. It also covers building custom images using Dockerfiles. The document provides examples to showcase common Docker tasks like committing changes to an image, pulling images, stopping and removing containers.
Docker Essentials Workshop— Innovation Labs July 2020CloudHero
This presentation was the foundation of our Docker Essentials workshop hosted by CloudHero CEO & founder Andrei Manea for the Innovation Labs team on the 23rd of July 2020.
This presentation covers the following topics:
-Getting started with containers
-A bit of history about orchestration
-Introduction to services (what they are, how to create and scale them).
To find out more about this topic, check https://cloudhero.io/
This document provides an introduction and overview of Docker and Docker Compose. It begins with background on the speaker and a history of session-based, non-session based, and container-based computing. Key benefits of containers are then outlined. The document explains the terminology used in Docker and provides examples of pulling an image, building an image, and using Docker Compose to define and run a multi-container application with services like Redis, Node, and Nginx. It also lists and briefly explains many common Docker commands.
The document provides an agenda for a DevOps with Containers training over 4 days. Day 1 covers Docker commands and running containers. Day 2 focuses on Docker images, networks, and storage. Day 3 introduces Docker Compose. Day 4 is about Kubernetes container orchestration. The training covers key Docker and DevOps concepts through presentations, videos, labs, and reading materials.
This document introduces Dockerfiles, which are text files that contain instructions for building Docker images. It discusses the goals of using Dockerfiles, their format and instructions. The format consists of instruction and arguments on each line. Common instructions are FROM, MAINTAINER, RUN, CMD and EXPOSE. An example Dockerfile is provided for an OpenSSH server image. The document also covers creating an image from a Dockerfile using the docker build command and options like --force-rm and --no-cache.
An introduction to Docker (Docker.io). Just a brief overview that describes a little of what Docker has to offer. The talk was hosted at kWantera HQ in Pittsburgh PA.
This document introduces Docker. It discusses that Docker is an abstraction layer for Linux containers that provides lightweight virtualization. Key Docker concepts are explained such as images, containers, volumes, and Dockerfiles which are used to build images. Examples of using Dockerfiles, running containers, and sharing files between the host and containers are provided. Tips are given such as using containers for build processes and monitoring.
Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. This is a first introduction to Docker, Dockerfile and docker-compose with relative basic commands.
The document discusses how to create Dockerfiles to containerize web applications. It provides instructions for creating Dockerfiles for both Node.js and Python web applications. For Node.js, it shows how to create a Dockerfile that copies local code and dependencies into an image based on an Alpine Node image and exposes port 8080. For Python, it demonstrates a Dockerfile that copies code and dependencies into an Alpine image, installs Python and pip, exposes port 5000, and runs a Flask app.
An overview of Docker and Linux containers. There are three parts:
An introduction to Docker and containers
A demo that the audience can try out
An overview of the various vendors and groups in this space
The demo is meant to be a simple, step-by-step recipe that introduces the basic commands and ends by spinning up a node.js app using two linked containers: node and redis.
The final section explores the companies and groups that are working on containers, either complementing Docker's contributions or in direct competition with them.
The document provides information on how to write a Dockerfile, including:
- What a Dockerfile is and its purpose of providing instructions to build a Docker image
- Common Dockerfile instructions like FROM, RUN, COPY, EXPOSE, and CMD
- Best practices for writing Dockerfiles such as making images smaller, choosing the correct build context, leveraging the build cache, and ordering instructions
- Additional topics covered include the Docker build context, Dockerfile format, and tools like Docker BuildKit and Docker Scan. The presentation concludes with a demonstration of Dockerfiles.
This document provides instructions on installing Docker Engine on Ubuntu and describes common Docker commands. It discusses installing Docker on Ubuntu versions 18.04 LTS and higher using a convenience script. Common Docker commands covered include docker run to run a container, docker ps to list running containers, docker stop and docker start to stop and start containers, and docker rm to remove containers. The document also discusses Docker images, tags, volumes, environment variables, building custom Dockerfiles, and using Docker Compose to define and run multi-container apps.
Docker: Up and Running Introduction was a tech talk given at Code Youngstown on April 27, 2017 at the Drund office in Boardman, Ohio. The target audience is complete beginners to Docker and containers in general.
This document discusses virtual environments and Docker for isolating Python applications and dependencies. It provides an overview of common virtual environment tools like virtualenv and virtualenvwrapper. It then introduces Docker as a platform for developing, deploying, and running applications in containers. Key Docker concepts are explained like images, containers, the Dockerfile for building images, and common Docker commands. The goal of virtualization and containers is to package an application and its dependencies into a self-contained unit that can run anywhere.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
In a talk intended for beginners who are already familiar with Bash and other Linux basics, I will demonstrate how Docker is a powerful tool to build, deploy and run applications. I'll introduce Docker container architecture for the uninitiated and focus on Docker for deploying Python code.
Docker is an open platform for building, shipping and running containers. It provides lightweight virtualization that allows applications to run reliably from one computing environment to another. Some key benefits of Docker include guaranteed consistency through isolation of applications and their dependencies into lightweight executable packages called containers.
This document introduces Dockerfiles, which are text files that contain instructions for building Docker images. It discusses the goals of using Dockerfiles, their format and instructions. The format consists of instruction and arguments on each line. Common instructions are FROM, MAINTAINER, RUN, CMD and EXPOSE. An example Dockerfile is provided for an OpenSSH server image. The document also covers creating an image from a Dockerfile using the docker build command and options like --force-rm and --no-cache.
An introduction to Docker (Docker.io). Just a brief overview that describes a little of what Docker has to offer. The talk was hosted at kWantera HQ in Pittsburgh PA.
This document introduces Docker. It discusses that Docker is an abstraction layer for Linux containers that provides lightweight virtualization. Key Docker concepts are explained such as images, containers, volumes, and Dockerfiles which are used to build images. Examples of using Dockerfiles, running containers, and sharing files between the host and containers are provided. Tips are given such as using containers for build processes and monitoring.
Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. This is a first introduction to Docker, Dockerfile and docker-compose with relative basic commands.
The document discusses how to create Dockerfiles to containerize web applications. It provides instructions for creating Dockerfiles for both Node.js and Python web applications. For Node.js, it shows how to create a Dockerfile that copies local code and dependencies into an image based on an Alpine Node image and exposes port 8080. For Python, it demonstrates a Dockerfile that copies code and dependencies into an Alpine image, installs Python and pip, exposes port 5000, and runs a Flask app.
An overview of Docker and Linux containers. There are three parts:
An introduction to Docker and containers
A demo that the audience can try out
An overview of the various vendors and groups in this space
The demo is meant to be a simple, step-by-step recipe that introduces the basic commands and ends by spinning up a node.js app using two linked containers: node and redis.
The final section explores the companies and groups that are working on containers, either complementing Docker's contributions or in direct competition with them.
The document provides information on how to write a Dockerfile, including:
- What a Dockerfile is and its purpose of providing instructions to build a Docker image
- Common Dockerfile instructions like FROM, RUN, COPY, EXPOSE, and CMD
- Best practices for writing Dockerfiles such as making images smaller, choosing the correct build context, leveraging the build cache, and ordering instructions
- Additional topics covered include the Docker build context, Dockerfile format, and tools like Docker BuildKit and Docker Scan. The presentation concludes with a demonstration of Dockerfiles.
This document provides instructions on installing Docker Engine on Ubuntu and describes common Docker commands. It discusses installing Docker on Ubuntu versions 18.04 LTS and higher using a convenience script. Common Docker commands covered include docker run to run a container, docker ps to list running containers, docker stop and docker start to stop and start containers, and docker rm to remove containers. The document also discusses Docker images, tags, volumes, environment variables, building custom Dockerfiles, and using Docker Compose to define and run multi-container apps.
Docker: Up and Running Introduction was a tech talk given at Code Youngstown on April 27, 2017 at the Drund office in Boardman, Ohio. The target audience is complete beginners to Docker and containers in general.
This document discusses virtual environments and Docker for isolating Python applications and dependencies. It provides an overview of common virtual environment tools like virtualenv and virtualenvwrapper. It then introduces Docker as a platform for developing, deploying, and running applications in containers. Key Docker concepts are explained like images, containers, the Dockerfile for building images, and common Docker commands. The goal of virtualization and containers is to package an application and its dependencies into a self-contained unit that can run anywhere.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
In a talk intended for beginners who are already familiar with Bash and other Linux basics, I will demonstrate how Docker is a powerful tool to build, deploy and run applications. I'll introduce Docker container architecture for the uninitiated and focus on Docker for deploying Python code.
Docker is an open platform for building, shipping and running containers. It provides lightweight virtualization that allows applications to run reliably from one computing environment to another. Some key benefits of Docker include guaranteed consistency through isolation of applications and their dependencies into lightweight executable packages called containers.
Infrastructure for Tracking Information Flow from Social Media to U.S. TV New...Himarsha Jayanetti
This study examines the intersection between social media and mainstream television (TV) news with an aim to understand how social media content amplifies its impact through TV broadcasts. While many studies emphasize social media as a primary platform for information dissemination, they often underestimate its total influence by focusing solely on interactions within the platform. This research examines instances where social media posts gain prominence on TV broadcasts, reaching new audiences and prompting public discourse. By using TV news closed captions, on-screen text recognition, and social media logo detection, we analyze how social media is referenced in TV news.
Body temperature_chemical thermogenesis_hypothermia_hypothermiaMetabolic acti...muralinath2
Homeothermic animals, poikilothermic animals, metabolic activities, muscular activities, radiation of heat from environment, shivering, brown fat tissue, temperature, cinduction, convection, radiation, evaporation, panting, chemical thermogenesis, hyper pyrexia, hypothermia, second law of thermodynamics, mild hypothrtmia, moderate hypothermia, severe hypothertmia, low-grade fever, moderate=grade fever, high-grade fever, heat loss center, heat gain center
Examining Visual Attention in Gaze-Driven VR Learning: An Eye-Tracking Study ...Yasasi Abeysinghe
This study presents an eye-tracking user study for analyzing visual attention in a gaze-driven VR learning environment using a consumer-grade Meta Quest Pro VR headset. Eye tracking data were captured through the headset's built-in eye tracker. We then generated basic and advanced eye-tracking measures—such as fixation duration, saccade amplitude, and the ambient/focal attention coefficient K—as indicators of visual attention within the VR setting. The generated gaze data are visualized in an advanced gaze analytics dashboard, enabling us to assess users' gaze behaviors and attention during interactive VR learning tasks. This study contributes by proposing a novel approach for integrating advanced eye-tracking technology into VR learning environments, specifically utilizing consumer-grade head-mounted displays.
Protective function of skin, protection from mechanical blow, UV rays, regulation of water and electrolyte balance, absorptive activity, secretory activity, excretory activity, storage activity, synthetic activity, sensory activity, role of sweat glands regarding heat loss, cutaneous receptors and stratum corneum
1. Docker file
➢ Docker Image:
A Docker Image is a read-only file with a bunch of instructions. When these instructions are executed, it
creates a Docker container.
➢ Dockerfile:
Dockerfile is a simple text file that consists of instructions to build Docker images.
➢ Syntax
# comments
command argument argument1...
➢ Docker Commands for Creating a Dockerfile
CMD - Specifies what command to run within the container
FROM - Creates a layer from the ubuntu:18.04
FROM ubuntu:18.04
PULL - Adds files from your Docker repository
PULL. /file
RUN - Builds your container
RUN make /file
CMD python /file/file.py
2. • allows specifying a command along with the parameters
• Syntax, ENTRYPOINT application "arg, arg1".
• Example , ENTRYPOINT echo "Hello, $name".
ENTRYPOINT
• ADD command helps in copying data into a Docker image
• Syntax , ADD /[source]/[destination]
• Example , ADD /root_folder/test_folder
ADD
• ENV provides default values for variables that can be accessed within the container
• Syntax , ENV key value
• Example , ENV value_1
ENV
• MAINTAINER declares the author field of the images
• Syntax , MAINTAINER [name]
• Example , MAINTAINER author_name
MAINTAINER
3. Docker Commands
network Manage networks
volume Manage volumes
Name Description
attach Attach local standard input, output, and error streams to a running container
build Build an image from a Dockerfile
commit Create a new image from a container’s changes
config Manage Swarm configs
container Manage containers
cp Copy files/folders between a container and the local filesystem
create Create a new container
exec Execute a command in a running container
export Export a container’s filesystem as a tar archive
image Manage images
images List images
inspect Return low-level information on Docker objects
kill Kill one or more running containers
load Load an image from a tar archive or STDIN
port List port mappings or a specific mapping for the container
ps List containers
rename Rename a container
restart Restart one or more containers
rm Remove one or more containers
rmi Remove one or more images
run Create and run a new container from an image
save
Save one or more images to a tar archive (streamed to STDOUT by
default)
stats Display a live stream of container(s) resource usage statistics
stop Stop one or more running containers
top Display the running processes of a container
4. Build a Docker Image with Dockerfile
➢ Create a directory where the dockerfile will be stored.
▪ mkdir c1 && cd c1
➢ Create dockerfile
▪ sudo vi dockerfile
####Contents of Dockerfile####
FROM ubuntu:22.04
MAINTAINER Virtual_University_of_Pakistan
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update && apt-get install -y ubuntu-server
EXPOSE 2022
#expose the port 2022
CMD ["echo", "Welcome to it601p"]
#above command will print the message and container will exit.
#To keep it running run bash and keep it running
CMD [“PROGRAM_TO_RUN”]
5. Build a Docker Image with Dockerfile
➢ Build the image using above docker file
▪ docker build --help
▪ docker build <options>
Option Description
--build-arg Set build-time variables
--cache-from Images to consider as cache sources
--cgroup-parent Optional parent cgroup for the container
--compress Compress the build context using gzip
--cpu-period Limit CPU CFS (Completely Fair Scheduler) period
--cpu-quota Limit the CPU CFS (Completely Fair Scheduler) quota
--cpu-shares , -c CPU shares (relative weight)
--cpuset-cpus CPUs in which to allow execution (0-3, 0,1)
--cpuset-mems MEMs in which to allow execution (0-3, 0,1)
--disable-content-trust TRUE, Skip image verification
--iidfile Write the image ID to the file
--isolation Container isolation technology
--memory , -m Memory limit
--memory-swap
Swap limit equal to memory plus swap: -1 to enable unlimited
swap
--no-cache Do not use cache when building the image
--platform Set platform if server is multi-platform capable
--pull Always attempt to pull a newer version of the image
--security-opt Security options
--shm-size Size of /dev/shm
--squash Squash newly built layers into a single new layer
--target Set the target build stage to build.
--ulimit Ulimit options
➢ Some Options
--file, -f : docker file name
--label : set meta data for image
--quite -q : suppress output
--rm : Remove intermediate containers
--tag, -t : set name or tag
--add-host : Add custom host to IP mapping
--network : set the networking mode for run commands
➢ Upon completion , it returns the image id
6. Build a Docker Image with Dockerfile
➢ Verify the image is crated
▪ docker images
➢ Run an image
▪ docker run name:tag <options>
--workdir , -w Working directory inside the container
--hostname , -h Container host name
--interactive , -i Keep STDIN open even if not attached
--ip IPv4 address (e.g., 172.30.100.104)
--label , -l Set meta data on a container
--link Add link to another container
--mount Attach a filesystem mount to the container
--name Assign a name to the container
--network Connect a container to a network
--rm Automatically remove the container when it exits
--mac-address Container MAC address (e.g., 92:d0:c6:0a:29:33)
--memory , -m Memory limit
--volume , -v Bind mount a volume
7. Create a New Container
Now, create a Docker container from the Docker image we created in the previous step.
docker run --name it601p_m1